Publicis Health Media’s Diana Bernstein: Can Healthcare Marketers Balance Personalization With Priva

Why It Matters

This approach signals a shift in healthcare marketing from broad awareness to precision, privacy-conscious personalization and measurable outcomes, which can reduce media waste and demonstrate direct commercial and clinical impact. As AI and CTV advance, marketers who balance data-driven targeting with regulatory compliance will gain a competitive edge in reaching patients effectively.

Summary

Publicis Health Media’s Diana Bernstein says healthcare marketers are increasingly using audience-led CTV investments that pair high-quality inventory with privacy-safe behavioral signals to deliver timely, relevant messaging across complex patient journeys. She emphasizes that personalization must be built with strict privacy safeguards and creative that resonates, avoiding repetitive ads and targeting users at the right stage—education, consideration or action. Bernstein highlights AI’s role in optimization and real-time decisioning, enabling faster, data-led media investments across fragmented CTV environments without replacing strategic judgment. The ultimate goal is outcome-driven measurement—moving beyond impressions to real-world actions like patient engagement, doctor conversations and script lift.

Original Description

MIAMI — Healthcare marketing faces the challenge of delivering relevant, personalized messaging while maintaining strict data privacy compliance, requiring sophisticated approaches that gather cross-device signals without compromising patient confidentiality.

“We have to make sure that we’re doing this in a very data privacy safe way and making sure that we’re delivering that messaging to ultimately help them to get to where we need,” Diana Bernstein, EVP, Investment Marketplace at Publicis Health Media, told Beet.TV contributor David Kaplan at POSSIBLE. “We work very closely with our creative teams who are developing creative that’s resonating with the audience in a way that it’s more real to them.”

This balance becomes critical as healthcare journeys require non-linear messaging strategies that adapt to different patient stages without repeating identical advertisements.

Non-linear journeys demand sequential messaging

Healthcare patient paths require cross-environment and cross-device signal gathering to understand complex journeys and deliver appropriate messaging whether focused on education, consideration, or action.

“The healthcare journey is not a linear journey. Data and identity really helps us gather signals across different environments, different devices in order to really understand better that patient journey,” Bernstein said. “We don’t want to be running the same ad over and over again. We want to be sure that we’re helping that audience through their journey.”

This approach enables relevant messaging delivery that matches specific patient journey moments rather than generic repeated exposure.

AI accelerates fragmented CTV optimization

Artificial intelligence breaks down complex datasets to enable quicker data-led investment decisions in real-time, particularly important for navigating connected TV’s fragmented landscape without replacing strategic thinking.

“Within optimization and decisioning, it’s really helping break down those complex data sets and allowing us to make quicker data-led investment decisions in real time,” Bernstein said. “When you’re dealing with a space like CTV that’s very fragmented, being able to have that speed and agility is super important.”

AI enables smarter planning and in-flight optimization while maintaining human strategic oversight for healthcare-specific requirements.

Outcomes extend beyond media metrics

Better healthcare marketing outcomes require measurement that connects media exposure to real-world actions including education, physician consultations, and prescription lift rather than traditional awareness metrics.

“Better outcomes is going beyond just media metrics and it’s actually delivering outcomes, real life outcomes,” Bernstein said. “We really truly want to deliver upon whether that’s education, whether that’s consideration and having somebody reach out to a doctor, have those conversations, or eventually take action such as script lift.”

Precision targeting reduces waste while measurement ensures media exposure translates into meaningful healthcare decisions and behaviors.

“What we’re able to do is have that precision to reduce the waste. We’re able to make sure that measurement is very important within the whole mix of things to make sure that we are taking that media exposure and making sure that it’s actually delivering outcomes,” Bernstein said.